# Harmonai-org/sample-generator

Tools to train a generative model on arbitrary audio samples

Repository: https://github.com/Harmonai-org/sample-generator
Canonical: https://ross.abutalabs.com/products/sample-generator
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2024-04-29T00:57:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1561, "days_push": 857, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1117, forks 172 (observed 2026-08-28T04:03:38.956644+00:00)

## What it is
A set of tools and Jupyter notebooks for training generative diffusion models on arbitrary audio samples, built around Dance Diffusion. It includes notebooks for inference, interpolation, and fine-tuning, runnable locally or via Google Colab.

## Use cases
- train a generative model on my own audio samples
- generate music clips with Dance Diffusion
- fine-tune a diffusion model on custom sounds
- create audio interpolations between generated samples
- generate drum loops or sound effects with AI

## When to choose
- you want to train or fine-tune an audio diffusion model on your own sample library
- you prefer notebook-based workflows with Colab support
- you need an MIT-licensed generative audio tool

## When to avoid
- you need production audio synthesis with a polished UI
- you want text-to-music generation rather than sample-based generation
- you need actively developed features, as the project appears to be in maintenance

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, audio-processing, llm-training
- domain: machine-learning, deep-learning, artificial-intelligence
- platform: python, cross-platform
- tags: audio-generation, diffusion-models, dance-diffusion, music-generation, jupyter-notebooks, generative-audio, audio, gpu

## Member repositories
- Harmonai-org/sample-generator (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:38.956644+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:41:51.226936+00:00, confidence not recorded.
  - readme: https://github.com/Harmonai-org/sample-generator (fetched 2026-08-28T04:03:38.956644+00:00, sha b93fc6224220)
- Data as of 2026-08-30T08:39:29.467469+00:00.